Sr Data Engineer

Sr Data Engineer2

We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights

organization to build data solutions, design and implement ETL/ELT processes and manage our data

platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our

vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at

scale.

The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and

experience with cloud services and SQL/NoSQL databases.

You will work closely with our cross functional stakeholders in Product, Finance and GTM along with

Business and Enterprise Technology teams.

As a Senior Data Engineer, You Will

• Collaborating closely with various stakeholders to prioritize requests, identify improvements, and
  
  

offer recommendations.

• Taking the lead in analyzing, designing, and implementing data solutions, which involves
  
  

constructing and designing data models and ETL processes.

• Cultivating collaboration with corporate engineering, product teams, and other engineering
  
  

groups.

• Leading and mentoring engineering discussions, advocating for best practices.
• Actively participating in design and code reviews.
• Accessing and exploring third-party data APIs to determine the data required to meet business
  
  

needs.

• Ensuring data quality and integrity across different sources and systems.
• Managing data pipelines for both analytics and operational purposes.
• Continuously enhancing processes and policies to improve SLA and SOX compliance.
  
  

You'll be a great addition to the team if you have:

• Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field.
• Possess over 5 years of experience in Data Engineering, focusing on building and maintaining
  
  

data environments.

• Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes,
  
  

managing data solutions within an SLA-driven environment.

• Exhibit a strong background in developing data products, APIs, and maintaining testing,
  
  

monitoring, isolation, and SLA processes.

• Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift,
  
  

MongoDB).

• Proficient in programming with Python or other scripting languages.
• Have familiarity with columnar OLAP databases and data modeling.
• Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using
  
  

GitHub, and reporting in Tableau.

• Possess excellent communication and interpersonal skills to effectively collaborate with various
  
  

business stakeholders and translate requirements.

Added Bonus If You Also Have

• A good understanding of Salesforce & Netsuite systems
• Experience in SAAS environments
• Designed and deployed ML models
• Experience with events and streaming data